{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T16:45:24Z","timestamp":1725554724172},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540344827"},{"type":"electronic","value":"9783540344834"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006]]},"DOI":"10.1007\/11760191_163","type":"book-chapter","created":{"date-parts":[[2006,5,11]],"date-time":"2006-05-11T14:00:36Z","timestamp":1147356036000},"page":"1117-1125","source":"Crossref","is-referenced-by-count":0,"title":["Using Directed Acyclic Graph Support Vector Machines with Tabu Search for Classifying Faulty Product Types"],"prefix":"10.1007","author":[{"given":"Ping-Feng","family":"Pai","sequence":"first","affiliation":[]},{"given":"Yu-Ying","family":"Huang","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"163_CR1","doi-asserted-by":"publisher","first-page":"108","DOI":"10.1016\/S0924-0136(02)00252-2","volume":"133","author":"W. Hu","year":"2003","unstructured":"Hu, W., Starr, A.G., Leung, A.Y.T.: Operational Fault Diagnosis of Manufacturing System. Journal of Materials Processing Technology\u00a0133, 108\u2013117 (2003)","journal-title":"Journal of Materials Processing Technology"},{"key":"163_CR2","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1023\/A:1022911715996","volume":"14","author":"T.H. Hou","year":"2003","unstructured":"Hou, T.H., Liu, W.L.: Intelligent Remote Monitoring and Diagnosis of Manufacturing Processes Using an Integrated Approach of Neural Networks and Rough Sets. Journal of Intelligent Manufacturing\u00a014, 239\u2013253 (2003)","journal-title":"Journal of Intelligent Manufacturing"},{"key":"163_CR3","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/S0952-1976(00)00003-8","volume":"13","author":"L.P. Khoo","year":"2000","unstructured":"Khoo, L.P., Ang, C.L., Zhang, J.: A Fuzzy-based Genetic Approach to the Diagnosis of Manufacturing Systems. Engineering Applications of Artificial Intelligence\u00a013, 303\u2013310 (2000)","journal-title":"Engineering Applications of Artificial Intelligence"},{"key":"163_CR4","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1016\/S0736-5845(99)00045-9","volume":"16","author":"J.P. Son","year":"2000","unstructured":"Son, J.P., Park, J.H., Cho, Y.Z.: An Integrated Knowledge Representation Scheme and Query Processing Machanism for Fault Diagnosis in Heterogeneous Manufacturing Environments. Robotics and Computer Integrated Manufacturing\u00a016, 133\u2013141 (2000)","journal-title":"Robotics and Computer Integrated Manufacturing"},{"key":"163_CR5","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/S0166-3615(00)00050-6","volume":"43","author":"L. Shen","year":"2000","unstructured":"Shen, L., Tay, F.E.H., Qu, L., Shen, Y.: Fault Diagnosis Using Rough Sets Theory. Computers in Industry\u00a043, 61\u201372 (2000)","journal-title":"Computers in Industry"},{"key":"163_CR6","unstructured":"Platt, J.C., John, S.-T., Nello, C.: Large Margin DAGs for Multiclass Classification. In: Proceedings of Neural Information Processing Systems, vol.\u00a012, pp. 547\u2013553 (2000)"},{"key":"163_CR7","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1016\/0305-0548(86)90048-1","volume":"13","author":"F. Glover","year":"1986","unstructured":"Glover, F.: Future Paths for Integer Programming and Links to Artificial Intelligence. Computers and Operations Research\u00a013, 533\u2013549 (1986)","journal-title":"Computers and Operations Research"},{"volume-title":"The Nature of Statistical Learning Theory","year":"1995","key":"163_CR8","unstructured":"Vapnik, V. (ed.): The Nature of Statistical Learning Theory. Springer, New York (1995)"},{"key":"163_CR9","first-page":"273","volume":"20","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support Vector Network. Machine Learning\u00a020, 273\u2013297 (1995)","journal-title":"Machine Learning"},{"key":"163_CR10","doi-asserted-by":"crossref","unstructured":"Bottou, L., Cortes, C., Denker, J., Drucker, H., Guyon, I., Jackel, L., LeCun, Y., Muller, U., Sackinger, E., Simard, P., Vapnik, V.: Comparison of Classifier Methods: A Case Study in Handwriting Digit Recognition. In: Proc. Int. Conf. Pattern Recognition, pp. 77\u201387 (1994)","DOI":"10.1109\/ICPR.1994.576879"},{"key":"163_CR11","unstructured":"Friedman, J.: Another Approach to Polychotomous Classification. Stanford University (1996)"},{"key":"163_CR12","volume-title":"Neurocomputing: Algorithms, Architectures and Applications","author":"S. Knerr","year":"1990","unstructured":"Knerr, S., Personnaz, L., Dreyfus, G.: Single-layer Learning Revisited: A Stepwise Procedure for Building and Training a Neural Network. In: Fogelman, J. (ed.) Neurocomputing: Algorithms, Architectures and Applications. Springer, New York (1990)"},{"key":"163_CR13","first-page":"255","volume-title":"Advances in Kernel Methods\u2014Support Vector Learning","author":"U. KreBel","year":"1999","unstructured":"KreBel, U.: Pairwise Classification and Support Vector Machines. In: Sch\u00f6lkopf, B., Burges, C.J.C., Smola, A.J. (eds.) Advances in Kernel Methods\u2014Support Vector Learning, pp. 255\u2013268. MIT Press, Cambridge (1999)"},{"key":"163_CR14","unstructured":"Dong, X., Zhaohui, W., Yunhe, P.: A New Multi-class Support Vector Machines. IEEE, 1673\u20131676 (2001)"},{"key":"163_CR15","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1109\/TNN.2002.1000139","volume":"13","author":"C.W. Hsu","year":"2002","unstructured":"Hsu, C.W., Lin, C.J.: A Comparison of Methods for Multiclass Support Vector Machines. IEEE Transactions on Neural Networks\u00a013, 415\u2013425 (2002)","journal-title":"IEEE Transactions on Neural Networks"},{"key":"163_CR16","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/S0925-2312(03)00435-1","volume":"55","author":"C. Angulo","year":"2003","unstructured":"Angulo, C., Parra, X., Catal\u00e1, A.: K-SVCR. A Support Vector Machine for Multi-class Classification. Neurocomputing\u00a055, 57\u201377 (2003)","journal-title":"Neurocomputing"},{"key":"163_CR17","unstructured":"Liu, X.P., Xing, H.J., Wang, X.Z.: A Multistage Support Vector Machine. In: Proceedings of the Second International Conference on Machine Learning and Cybernetics (2003)"},{"key":"163_CR18","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1016\/S0031-3203(03)00236-X","volume":"37","author":"K.I. Maruyama","year":"2004","unstructured":"Maruyama, K.I., Maruyama, M., Miyao, H., Nakano, Y.: A Method to Make Multiple Hypotheses with High Cumulative Recognition Rate Using SVMs. Pattern Recognition\u00a037, 241\u2013251 (2004)","journal-title":"Pattern Recognition"},{"key":"163_CR19","first-page":"1","volume":"16","author":"A. Statnikov","year":"2004","unstructured":"Statnikov, A., Aliferis, C.F., Tsamardino, I., Hardin, D., Levy, S.: A Comprehensive Evaluation of Multicategory Classification Methods for Microarray Gene Expression Cancer Diagnosis. Bioinformatics\u00a016, 1\u201314 (September 2004) (Advance Access published)","journal-title":"Bioinformatics"},{"key":"163_CR20","doi-asserted-by":"publisher","first-page":"759","DOI":"10.1016\/j.conengprac.2004.08.002","volume":"13","author":"S. P\u00f6yh\u00f6nen","year":"2005","unstructured":"P\u00f6yh\u00f6nen, S., Arkkio, A., Jover, P., Hy\u00f6tyniemi, H.: Coupling Pairwise Support Vector Machines for Fault Classification. Control Engineeing Practice\u00a013, 759\u2013769 (2005)","journal-title":"Control Engineeing Practice"},{"key":"163_CR21","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1093\/biomet\/76.3.503","volume":"76","author":"P. Burman","year":"1989","unstructured":"Burman, P.: A Comparative Study of Ordinary Cross-validation, V-fold Cross-validation and the Repeated Learning-testing Methods. Biometrika\u00a076, 503\u2013514 (1989)","journal-title":"Biometrika"}],"container-title":["Lecture Notes in Computer Science","Advances in Neural Networks - ISNN 2006"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/11760191_163.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T07:09:14Z","timestamp":1619507354000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/11760191_163"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006]]},"ISBN":["9783540344827","9783540344834"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/11760191_163","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2006]]}}}